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Credit Risk Data Science Jobs in Sugar Land, TX (NOW HIRING)

Flagstar Bank

Credit Products Analyst Il

Houston, TX

$58K - $95K/yr

Applies critical thinking to resolve credit issues and assess risk exposure. * Technology & Data Utilization: Proficient in financial analysis tools, CRM systems, and Excel (pivot tables, financial ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

The role focuses on supporting GenAI tools and involves collaborating with data scientists and ... risk • Collaborative approach to problem solving - ability to effectively pair program • ...

Golden Bank NA

Credit Administrator

Houston, TX · On-site

Aggregate and evaluate data related to credit and credit risk to support organizational decision-making * Ensure that credits are accurately risk graded, appropriately structured, and that sources of ...

Alpha Generation

Sr. Risk Analyst

Houston, TX

Collaborate with front-office, back-office, and IT teams to maintain and improve risk data flows ... Bachelor's degree in finance, economics, engineering, mathematics, computer science or a related ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · On-site

$130K - $150K/yr

Maintain an active risk and issue log; drive mitigations and escalations that protect delivery ... Proven experience delivering Data Science or machine learning projects, including coordination of ...

Alpha Generation

Sr. Risk Analyst

Houston, TX · On-site

Collaborate with front-office, back-office, and IT teams to maintain and improve risk data flows ... Bachelor's degree in finance, economics, engineering, mathematics, computer science or a related ...

Tyndale

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

Maintain an active risk and issue log; drive mitigations and escalations that protect delivery ... Proven experience delivering Data Science or machine learning projects, including coordination of ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... technical debt and delivery risk * Collaborative approach to problem solving - ability to ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... technical debt and delivery risk * Collaborative approach to problem solving - ability to ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

Translate: Act as a local champion for data science and AI, helping users adopt tools and ... technical debt and delivery risk * Collaborative approach to problem solving - ability to ...

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Showing results 21-40

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Sugar Land, TX

Credit Risk Data Science information

See Sugar Land, TX salary details

$33.2K

$102.1K

$177.1K

How much do credit risk data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for credit risk data science in Sugar Land, TX is $102,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $126,000.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What job categories do people searching Credit Risk Data Science jobs in Sugar Land, TX look for?

The top searched job categories for Credit Risk Data Science jobs in Sugar Land, TX are:

What cities near Sugar Land, TX are hiring for Credit Risk Data Science jobs?

Cities near Sugar Land, TX with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you

Credit KYC Compliance Analyst

Smith and Associates

Houston, TX • On-site

Full-time

Posted 5 days ago

Job description

Smith is the leading independent electronic components distributor in the world. Since our founding in 1984, Smith's Intelligent Distribution model and commitment to quality has allowed us to deliver comprehensive solutions to electronic component supply chains. We work across a variety of industries including automotive, supercomputing, gaming, medical devices, oil and gas, and more. Additionally, we provide tailored supply chain solutions such as counterfeit testing, vendor inventory management, and sustainable hardware disposition. We're excited to meet you and share what we love about Smith!
Essential Job Duties:
The Credit KYC Compliance Analyst is responsible for conducting due diligence on prospective and existing customers, suppliers, distributors, and other business counterparties. The position supports informed credit decisions and regulatory compliance by validating legal-entity information, beneficial ownership, financial standing, payment capacity, sanctions exposure, and adverse-risk indicators.
Key Responsibilities:
  • Conduct KYC and credit due diligence for new and existing commercial counterparties, including legal-entity verification, ownership analysis, and validation of authorized signatories.
  • Review corporate documentation, such as certificates of formation/incorporation, business registrations, tax documentation, ownership charts, shareholder registers, financial statements, bank references, trade references, and credit applications.
  • Identify and document ultimate beneficial owners, controlling persons, parent companies, affiliates, and complex ownership structures.
  • Perform sanctions, politically exposed person (PEP), watchlist, adverse-media, and other relevant compliance screenings; investigate potential matches and escalate credible concerns in accordance with internal policy.
  • Assess counterparty creditworthiness using financial statements, credit reports, payment history, trade references, industry conditions, country risk, liquidity indicators, leverage, profitability, and cash-flow trends.
  • Assign or support assignment of customer risk ratings based on credit, compliance, geographic, ownership, industry, and transaction-risk factors.
  • Conduct enhanced due diligence (EDD) for high-risk counterparties, including those involving high-risk jurisdictions, complex ownership, adverse media, sanctions exposure, unusual transaction structures, or elevated fraud concerns.
  • Review customers periodically and upon trigger events, including ownership changes, adverse credit developments, overdue balances, legal actions, material news, sanctions-list changes, or changes in business activity.
  • Maintain accurate, complete, and audit-ready KYC, credit, and screening documentation in designated systems and repositories.
  • Prepare concise written risk assessments and escalation memoranda that clearly state findings, risk factors, outstanding information, recommended action, and approval requirements.
  • Partner with Sales and commercial stakeholders to obtain required documentation without compromising compliance standards or onboarding controls.
  • Monitor regulatory and policy developments relevant to KYC, AML, sanctions, anti-bribery, data privacy, trade compliance, and commercial credit risk.

Minimum Requirements:
  • Bachelor's degree in finance, Accounting, Business, Economics, Risk Management, Compliance, or a related field.
  • 3+ years of experience in commercial credit, KYC/AML, compliance, customer onboarding, financial analysis, corporate due diligence, or accounts receivable.
  • Ability to review corporate documents and identify beneficial ownership and control relationships.
  • Working knowledge of KYC/CDD, sanctions screening, adverse media, PEP review, and risk-based escalation.
  • Ability to analyze financial statements and assess commercial credit risk.
  • Advanced Excel and strong proficiency with business systems and research tools.
  • Exceptional attention to detail, written communication, research, and analytical skills.
  • Ability to maintain complete, confidential, and audit-ready documentation.

Position Type: Full-Time/Regular
FSLA: Exempt
Smith is an Equal Opportunity/Affirmative Action employer
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We are an Equal Opportunity/Affirmative Action Employer.

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